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Lachlan River Catchment Wetlands

This regional scale mapping of wetlands in the Lachlan River Catchment was produced to trial methods for Wetland Inventory in NSW. Wetland boundaries were determined by combining existing vegetation mapping with remote sensing analyses of inundation. Wetland attributes were determined using existing mapping and remote sensing datasets. The project produced two spatial datasets:

  1. Non vegetation information about the wetlands (inundation, soils, and more) - WetlandsLachlan

  2. Vegetation within the wetland areas - WetlandsVegLachlan

These maps are suitable for viewing at 1:50 000. They are not free from error. Please read the accompanying report to understand data limitations and accuracy:

Building a NSW wetland inventory: Lachlan River Catchment wetland mapping methods. Report for NSW Office of Environment and Heritage. M. Powell, G. Hodgins, A. Cowood, J. Ling, L. Wen, D. Tierney, C. Wilson (2017)

Data and Resources

Metadata Summary What is metadata?

Field Value
Language English
Alternative Title Wetland Inventory of the Lachlan River Catchment v1
Edition v1.0
Purpose This dataset should be used to understand regional scale wetland location and type.
Frequency of change Not planned
Keywords WATER-Wetlands
Field of Research (optional) ecology,biogeography,aquatic ecosystems,geomorphology,hydrology,wetlands
Metadata Date 2017-11-10
Date of Asset Creation 2017-10-11
Date of Asset Publication 2017-11-10
License Creative Commons Attribution 4.0
Equivalent Scale 50000
Vector representation
Record 1
Object type
Complex
Object count
43863
Geospatial Topic Environment
NSW Place Name Lachlan River Catchment, NSW
Extent

Dataset extent

Temporal Coverage From 2017-01-10 - 2017-02-10
Datum GDA94 Geographic (Lat\Long)
Legal Disclaimer Read
Attribution NSW Department of Climate Change, Energy, the Environment and Water asserts the right to be attributed as author of the original material in the following manner: "© State Government of NSW and NSW Department of Climate Change, Energy, the Environment and Water 2017"